Introductory Paragraph

The purpose of our project is to demonstrate how, as life expectancy increases, life satisfaction tends to increase as well.

Our dataset consists of values listing life satisfaction and life expectancies of various countries over a period of time. Levels of life satisfaction are measured based on the Cantril Ladder. We retrieved the dataset from 9 different data sources:

Summary Paragraph

We created a summary to calculate various helpful observations:

Aggregate Table

Entity Average Life Expectancy Average Life Satisfaction
Afghanistan 61.83 3.90
Albania 77.11 5.09
Algeria 75.11 5.69
Angola 60.01 4.42
Argentina 75.68 6.44
Armenia 73.51 4.40
Australia 81.98 7.32
Austria 80.75 7.25
Azerbaijan 70.90 4.84
Bahrain 76.34 5.76
Bangladesh 70.36 4.76
Belarus 70.89 5.62
Belgium 80.14 7.04
Belize 69.71 6.20
Benin 59.58 3.50
Bhutan 69.43 5.20
Bolivia 66.58 5.74
Bosnia and Herzegovina 76.14 4.97
Botswana 61.04 4.25
Brazil 73.90 6.79
Bulgaria 74.04 4.16
Burkina Faso 57.34 3.96
Burundi 55.08 3.49
Cambodia 66.58 4.02
Cameroon 55.59 4.40
Canada 81.34 7.47
Central African Republic 47.13 3.80
Chad 50.48 3.93
Chile 78.57 6.39
China 75.27 4.92
Colombia 73.39 6.33
Comoros 62.04 3.77
Congo 62.07 4.16
Costa Rica 78.88 7.20
Cote d’Ivoire 51.86 3.99
Croatia 76.82 5.59
Cuba 78.22 5.42
Cyprus 79.67 6.10
Czech Republic 77.74 6.46
Democratic Republic of Congo 58.00 4.33
Denmark 79.46 7.72
Djibouti 60.12 4.82
Dominican Republic 72.79 5.08
Ecuador 75.17 5.69
Egypt 70.44 4.67
El Salvador 72.01 5.86
Estonia 75.49 5.41
Ethiopia 64.20 4.52
Finland 80.36 7.47
France 81.40 6.69
Gabon 64.64 4.12
Georgia 72.77 4.07
Germany 80.15 6.72
Ghana 60.97 4.70
Greece 80.41 5.57
Guatemala 71.66 6.20
Guinea 58.33 3.70
Guyana 65.74 5.99
Haiti 61.67 4.09
Honduras 72.54 5.20
Hong Kong 82.92 5.44
Hungary 74.75 4.98
Iceland 82.11 7.37
India 66.74 4.76
Indonesia 68.23 5.23
Iran 74.14 4.97
Iraq 68.87 4.70
Ireland 80.46 7.07
Israel 81.51 7.23
Italy 81.99 6.27
Jamaica 75.02 5.65
Japan 83.02 6.06
Jordan 73.47 5.50
Kazakhstan 67.78 5.72
Kenya 62.84 4.34
Kuwait 74.14 6.36
Kyrgyzstan 69.07 4.98
Laos 63.73 5.01
Latvia 72.95 5.11
Lebanon 78.37 5.01
Lesotho 51.53 4.90
Liberia 59.71 3.88
Libya 71.67 5.68
Lithuania 73.11 5.65
Luxembourg 80.90 6.98
Macedonia 74.91 4.75
Madagascar 63.95 3.95
Malawi 57.97 4.32
Malaysia 74.33 5.88
Mali 55.54 4.12
Malta 80.19 6.24
Mauritania 62.20 4.41
Mauritius 74.05 5.56
Mexico 76.18 6.83
Moldova 69.81 5.60
Mongolia 67.79 4.79
Montenegro 75.77 5.17
Morocco 74.74 4.95
Mozambique 54.27 4.72
Myanmar 66.16 4.41
Namibia 58.85 4.73
Nepal 68.06 4.55
Netherlands 80.82 7.46
New Zealand 80.94 7.33
Nicaragua 73.81 5.44
Niger 57.00 4.05
Nigeria 50.76 4.94
Norway 81.26 7.55
Oman 75.92 6.85
Pakistan 65.22 5.21
Palestine 72.53 4.61
Panama 76.94 6.85
Paraguay 72.33 5.51
Peru 73.77 5.52
Philippines 68.40 5.00
Poland 76.45 5.80
Portugal 80.15 5.22
Qatar 77.51 6.57
Romania 74.14 5.28
Russia 68.88 5.49
Rwanda 63.41 3.82
Saudi Arabia 73.70 6.58
Senegal 64.30 4.27
Sierra Leone 48.32 4.10
Singapore 81.83 6.60
Slovakia 75.94 5.92
Slovenia 79.80 5.90
Somalia 54.67 5.09
South Africa 56.85 4.89
South Korea 80.52 5.87
South Sudan 56.07 3.95
Spain 81.94 6.56
Sri Lanka 74.48 4.30
Sudan 63.04 4.38
Suriname 70.79 6.27
Swaziland 52.91 4.87
Sweden 81.54 7.38
Switzerland 82.44 7.57
Syria 71.49 4.02
Taiwan 78.95 6.19
Tajikistan 69.66 4.68
Tanzania 61.22 3.83
Thailand 73.96 6.14
Togo 57.77 3.11
Trinidad and Tobago 69.67 6.30
Tunisia 75.06 4.95
Turkey 74.21 5.27
Turkmenistan 67.18 5.80
Uganda 57.12 4.24
Ukraine 69.72 4.85
United Arab Emirates 76.52 6.85
United Kingdom 80.41 6.86
United States 78.59 7.17
Uruguay 76.66 6.21
Uzbekistan 70.18 5.62
Venezuela 73.72 6.65
Vietnam 75.22 5.33
Yemen 63.83 4.08
Zambia 56.80 4.81
Zimbabwe 53.66 4.14

We grouped the data by using the mean aggregate function because this provides a good representation of each country’s statistics. It is more useful to show their averages rather than data from a particular year because this minimizes outliers.

Table Observations

Chart 1

The purpose of chart 1 is to detail how as life satisfaction increases, the range of life expectancy tends to cluster towards a higher life expectancy. As you can see, the general trend is: as life satisfaction goes up, life expectancy does as well. Ultimately, life satisfaction and life expectancy are correlated, but one does not necessarily cause the other.

Chart 2

This chart compares the average life expectancy and average life satisfaction for each country. Each country is displayed as a different data point, in varying colors. There is a positive general trend: as life expectancy increases, life satisfaction also goes up.

Chart 3

This graphs depicts how life expectancy has increased throughout the 20th and 21st centuries. There is a steady increase in life expectancy. Each data point is the life expectancy of all the countries combined. Although there are some countries that have higher life expectancies, the overall population of the world still experiences an increase in their life spans.